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MySQL, the most popular Open Source SQL database management system, is developed, distributed, and supported by Oracle Corporation.
hsqldb is a relational database engine written in Java with a JDBC driver that supports a subset of ANSI SQL:1999. It offers a small, fast database engine. Embedded and server modes are available. It includes tools such as a minimal Web server, in-memory query and management tools (which can be run ... [More]
SQuirreL SQL Client is a graphical SQL client written in Java that will allow you to view the structure of a JDBC compliant database, browse the data in tables, issue SQL commands etc.
LiquiBase is a DBMS-independent library for tracking, managing and applying database changes. It is built on a simple premise: All database changes (structure and data) are stored in an XML-based descriptive manner and checked into source control. LiquiBase aims to provide a solution that: * ... [More]
SchemaSpy analyzes database metadata to reverse engineer dynamic Entity Relationship (ER) diagrams. It works with just about any JDBC-compliant database (Oracle/MySQL/DB2/SQL Server/PostgreSQL/Sybase/etc.) and can identify Ruby on Rails as well as other implied relationships.
jOOQ effectively combines complex SQL, typesafety, source code generation, active records, stored procedures, advanced data types, and Java in a fluent, intuitive DSL.
Eclipse SQL Explorer is a thin SQL client that allows you to query and browse any JDBC compliant database. It supports plugins with specialized functionality for individual databases (Oracle, DB2 and MySQL) and can be extended to include specialized support for other databases. The project ... [More]
Simple yet Powerful Jdbc Tool for browsing Relational databases. DBClient provides both a convenient SQL Editor (highlighting, auto-complete, ...) and automated Browsing and Refactoring Actions (Select, Drop, etc...). Since release 0.3, it is massively based on Plugins architecture which makes it very extensible.
HiveDB is an open source framework for horizontally partitioning MySQL systems. HiveDB uses a partition-by-key scheme to manage sharded data stored in separate MySQL databases. Out of the box HiveDB supports simple JDBC or HIbernate via HIbernate Shards.